Daniel Smith (Affiliate)
Genomic and data science approaches to understanding the pathophysiology of bipolar disorder
Research in a Nutshell
I am interested in the genetic and non-genetic causes of bipolar disorder, with a particular emphasis on sleep and circadian dysfunction. My work uses a variety of methods, including clinical and genetic epidemiology, health informatics, brain imaging and data science, and I work with both patient and population cohorts.
I am also interested in using experimental medicine approaches to develop new treatments for bipolar disorder, such as chronotherapies.
People |
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Prof Daniel Smith |
Group Leader, Chair of Psychiatry and Head of Division of Psychiatry |
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Dr Giulia Gaggioni |
Postdoctoral Researcher |
| Dr Amy Ferguson | Postdoctoral Researcher |
| Aleks Stolicyn | Postdoctoral Researcher |
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Tomasz Zielinski |
Research Fellow |
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Laura Lyall |
Honorary Fellow |
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Breda Cullen |
Honorary Fellow |
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Natasha Sangha |
PhD Student |
| Reesha Zahir | PhD Student |
Contact
Collaborations
- Heather Whalley, University of Edinburgh
- Andrew McIntosh, University of Edinburgh
- Sue Fletcher-Watson, University of Edinburgh
- Laura Lyall, University of Glasgow
- Breda Cullen, University of Glasgow
- Cathy Wyse, Maynooth University
- Donald Lyall, University of Glasgow
- Malcolm von Schantz, Northumbria University
- Alice Gregory, Goldsmiths University of London
Scientific Themes
Bipolar disorder, genomics, epidemiology, sleep, circadian, informatics, data science
Technology Expertise
Clinical epidemiology, genetic epidemiology, data linkage